Traffic Simulation and Data

Traffic Simulation and Data

Author: Winnie Daamen

Publisher: CRC Press

Published: 2014-09-17

Total Pages: 261

ISBN-13: 1482228718

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A single source of information for researchers and professionals, Traffic Simulation and Data: Validation Methods and Applications offers a complete overview of traffic data collection, state estimation, calibration and validation for traffic modelling and simulation. It derives from the Multitude Project-a European Cost Action project that incorpo


Traffic Flow Dynamics

Traffic Flow Dynamics

Author: Martin Treiber

Publisher: Springer Science & Business Media

Published: 2012-10-11

Total Pages: 505

ISBN-13: 3642324592

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This textbook provides a comprehensive and instructive coverage of vehicular traffic flow dynamics and modeling. It makes this fascinating interdisciplinary topic, which to date was only documented in parts by specialized monographs, accessible to a broad readership. Numerous figures and problems with solutions help the reader to quickly understand and practice the presented concepts. This book is targeted at students of physics and traffic engineering and, more generally, also at students and professionals in computer science, mathematics, and interdisciplinary topics. It also offers material for project work in programming and simulation at college and university level. The main part, after presenting different categories of traffic data, is devoted to a mathematical description of the dynamics of traffic flow, covering macroscopic models which describe traffic in terms of density, as well as microscopic many-particle models in which each particle corresponds to a vehicle and its driver. Focus chapters on traffic instabilities and model calibration/validation present these topics in a novel and systematic way. Finally, the theoretical framework is shown at work in selected applications such as traffic-state and travel-time estimation, intelligent transportation systems, traffic operations management, and a detailed physics-based model for fuel consumption and emissions.


Data Science and Simulation in Transportation Research

Data Science and Simulation in Transportation Research

Author: Janssens, Davy

Publisher: IGI Global

Published: 2013-12-31

Total Pages: 457

ISBN-13: 1466649216

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Given its effective techniques and theories from various sources and fields, data science is playing a vital role in transportation research and the consequences of the inevitable switch to electronic vehicles. This fundamental insight provides a step towards the solution of this important challenge. Data Science and Simulation in Transportation Research highlights entirely new and detailed spatial-temporal micro-simulation methodologies for human mobility and the emerging dynamics of our society. Bringing together novel ideas grounded in big data from various data mining and transportation science sources, this book is an essential tool for professionals, students, and researchers in the fields of transportation research and data mining.


Fundamentals of Traffic Simulation

Fundamentals of Traffic Simulation

Author: Jaume Barceló

Publisher: Springer Science & Business Media

Published: 2011-01-06

Total Pages: 450

ISBN-13: 1441961429

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The increasing power of computer technologies, the evolution of software en- neering and the advent of the intelligent transport systems has prompted traf c simulation to become one of the most used approaches for traf c analysis in s- port of the design and evaluation of traf c systems. The ability of traf c simulation to emulate the time variability of traf c phenomena makes it a unique tool for capturing the complexity of traf c systems. In recent years, traf c simulation – and namely microscopic traf c simulation – has moved from the academic to the professional world. A wide variety of traf- c simulation software is currently available on the market and it is utilized by thousands of users, consultants, researchers and public agencies. Microscopic traf c simulation based on the emulation of traf c ows from the dynamics of individual vehicles is becoming one the most attractive approaches. However, traf c simulation still lacks a uni ed treatment. Dozens of papers on theory and applications are published in scienti c journals every year. A search of simulation-related papers and workshops through the proceedings of the last annual TRB meetings would support this assertion, as would a review of the minutes from speci cally dedicated meetings such as the International Symposiums on Traf c Simulation (Yokohama, 2002; Lausanne, 2006; Brisbane, 2008) or the International Workshops on Traf c Modeling and Simulation (Tucson, 2001; Barcelona, 2003; Sedona, 2005; Graz 2008). Yet, the only comprehensive treatment of the subject to be found so far is in the user’s manuals of various software products.


Simulation Approaches in Transportation Analysis

Simulation Approaches in Transportation Analysis

Author: Ryuichi Kitamura

Publisher: Springer Science & Business Media

Published: 2006-03-10

Total Pages: 406

ISBN-13: 0387241094

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Simulation Approaches in Transportation Analysis: Recent Advances and Challenges presents the latest developments in transport simulation, including dynamic network simulation and micro-simulation of people’s movement in an urban area. It offers a collection of the major simulation models that are now in use throughout the world; it illustrates each model in detail, examines potential problems, and points to directions for future development. The reader will be able to understand the functioning, applicability, and usefulness of advanced transport simulation models. The material in this book will be of wide use to graduate students and practitioners as well as researchers in the transportation engineering and planning fields.


Highway Safety Analytics and Modeling

Highway Safety Analytics and Modeling

Author: Dominique Lord

Publisher: Elsevier

Published: 2021-02-27

Total Pages: 504

ISBN-13: 0128168196

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Highway Safety Analytics and Modeling comprehensively covers the key elements needed to make effective transportation engineering and policy decisions based on highway safety data analysis in a single. reference. The book includes all aspects of the decision-making process, from collecting and assembling data to developing models and evaluating analysis results. It discusses the challenges of working with crash and naturalistic data, identifies problems and proposes well-researched methods to solve them. Finally, the book examines the nuances associated with safety data analysis and shows how to best use the information to develop countermeasures, policies, and programs to reduce the frequency and severity of traffic crashes. Complements the Highway Safety Manual by the American Association of State Highway and Transportation Officials Provides examples and case studies for most models and methods Includes learning aids such as online data, examples and solutions to problems


Data Structures for a Web-based Traffic Simulation Platform for Research and Education

Data Structures for a Web-based Traffic Simulation Platform for Research and Education

Author:

Publisher:

Published: 2015

Total Pages: 0

ISBN-13:

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This research intends to design and develop a traffic simulation platform for the purposes of research and education. After briefly reviewing traffic simulation and existing simulation approaches, the general procedure of conducting traffic simulation from the perspective of a transportation researcher is analyzed. With the specific needs in data requirements, modeling, etc. addressed, state-of-the-art software engineering design patterns such as Model-View-Controller, inversion of control, etc. are introduced to support such a simulation platform. Data structure and architecture are thereby proposed and implemented. A highly open and flexible data structure is presented, along with a compact GIS model for traffic simulation that separates geometry and vehicle movements. A plug-in framework that supports such flexibility is devised with the intention to allow user to inject and customize simulation models efficiently. Six algorithmic models are extracted out of generic traffic simulation procedure. They are simulation model, lane-changing model, car-following model, vehicle propagation model, random generation model, and routing model. Each of these models are replaceable plug-in in the platform to execute traffic simulation. Together with two non-parameter attributes functions, dynamic vehicle and driver properties, they consists the core part in running simulation on the platform. TripSim (https://www.github.com/tripsim/trafficsim) are created as reference implementation.


Modeling Mobility with Open Data

Modeling Mobility with Open Data

Author: Michael Behrisch

Publisher: Springer

Published: 2015-03-11

Total Pages: 240

ISBN-13: 3319150243

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This contributed volume contains the conference proceedings of the Simulation of Urban Mobility (SUMO) conference 2014, Berlin. The included research papers cover a wide range of topics in traffic planning and simulation, including open data, vehicular communication, e-mobility, urban mobility, multimodal traffic as well as usage approaches. The target audience primarily comprises researchers and experts in the field, but the book may also be beneficial for graduate students.


Road Traffic Modeling and Management

Road Traffic Modeling and Management

Author: Fouzi Harrou

Publisher: Elsevier

Published: 2021-10-05

Total Pages: 270

ISBN-13: 0128234334

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Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing road traffic monitoring and management. The book examines commonly used traffic analysis methodologies as well the emerging methods that use deep learning methods. Other sections discuss how to understand statistical models and machine learning algorithms and how to apply them to traffic modeling, estimation, forecasting and traffic congestion monitoring. Providing both a theoretical framework along with practical technical solutions, this book is ideal for researchers and practitioners who want to improve the performance of intelligent transportation systems. - Provides integrated, up-to-date and complete coverage of the key components for intelligent transportation systems: traffic modeling, forecasting, estimation and monitoring - Uses methods based on video and time series data for traffic modeling and forecasting - Includes case studies, key processes guidance and comparisons of different methodologies